HIP2: an online database of human plasma proteins from healthy individuals.
HIP2: an online database of human plasma proteins from healthy individuals.
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DOI：
10.1186/1755-8794-1-12
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发表时间：
2008-04-25
影响因子：
2.7
通讯作者：
Chen JY
中科院分区：
文献类型：
--
作者：
Saha S;Harrison SH;Shen C;Tang H;Radivojac P;Arnold RJ;Zhang X;Chen JY
随着越来越强大的质谱（MS）技术用于临床研究的引入，最近几个大规模的MS蛋白质组学研究已经试图表征整个人血浆蛋白质组，其总体目标是鉴定从循环血液中的组织中泄漏的数千种蛋白质。了解人血浆蛋白质组的基本组成、多样性和可变性对于开发未来生物医学应用的灵敏分子诊断和治疗监测解决方案至关重要。然而，今天的生物医学研究人员没有一个集成的在线资源，他们可以在其中搜索从不同的质谱平台，实验方案和搜索软件收集的健康个体的血浆蛋白。缺乏这样的比较资源使得难以解释患者血浆中的蛋白质组学谱变化和设计蛋白质生物标志物发现实验。为了帮助将来从人血浆中进行疾病和健康的蛋白质生物标志物研究，我们开发了一个在线数据库HIP 2（健康人个体的整合血浆蛋白质组）。目前的版本包含12，787个蛋白质条目，与使用不同MS平台鉴定的86，831个肽条目相关联。这个基于网络的数据库将是有用的生物医学研究人员参与生物标志物的发现研究。该数据库已被开发为健康人血浆蛋白的综合集合，并且具有在关系数据库架构中捕获的蛋白质数据，该关系数据库架构被构建为包含来自若干高质量和高通量质谱（MS）实验数据集的支持肽证据的映射。用户可以搜索血浆蛋白质/肽注释、肽/蛋白质比对和实验/样品条件，并可选择基于过滤器的检索，以获得更大的发现和验证分析能力。
With the introduction of increasingly powerful mass spectrometry (MS) techniques for clinical research, several recent large-scale MS proteomics studies have sought to characterize the entire human plasma proteome with a general objective for identifying thousands of proteins leaked from tissues in the circulating blood. Understanding the basic constituents, diversity, and variability of the human plasma proteome is essential to the development of sensitive molecular diagnosis and treatment monitoring solutions for future biomedical applications. Biomedical researchers today, however, do not have an integrated online resource in which they can search for plasma proteins collected from different mass spectrometry platforms, experimental protocols, and search software for healthy individuals. The lack of such a resource for comparisons has made it difficult to interpret proteomics profile changes in patients' plasma and to design protein biomarker discovery experiments. To aid future protein biomarker studies of disease and health from human plasma, we developed an online database, HIP2 (Healthy Human Individual's Integrated Plasma Proteome). The current version contains 12,787 protein entries linked to 86,831 peptide entries identified using different MS platforms. This web-based database will be useful to biomedical researchers involved in biomarker discovery research. This database has been developed to be the comprehensive collection of healthy human plasma proteins, and has protein data captured in a relational database schema built to contain mappings of supporting peptide evidence from several high-quality and high-throughput mass-spectrometry (MS) experimental data sets. Users can search for plasma protein/peptide annotations, peptide/protein alignments, and experimental/sample conditions with options for filter-based retrieval to achieve greater analytical power for discovery and validation.
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影响因子：
--
作者：
Omenn GS
通讯作者：
Omenn GS
影响因子：
7
作者：
Olsen, JV;Ong, SE;Mann, M
通讯作者：
Mann, M
影响因子：
46.9
作者：
Taylor, Chris F.;Paton, Norman W.;Hermjakob, Henning
通讯作者：
Hermjakob, Henning
影响因子：
3.4
作者：
Deutsch, EW;Eng, JK;Aebersold, R
通讯作者：
Aebersold, R
影响因子：
3.4
作者：
Omenn, GS;States, DJ;Hanash, SM
通讯作者：
Hanash, SM